Modelling the logical structure of books and journals using augmented transition network grammars

Modelling the logical structure of books and journals using augmented transition network grammars This paper presents a grammar for books and journals using augmented transition networks in automated document analysis. The approach takes the structure of layout elements in books and journals to be part of a semiotic system, which therefore can be described using methods developed for the description of other semiotic systems, e.g. languages. It differs from previous research in the domain of document analysis and understanding as it deals in an exhaustive way with rather generic classes of multi‐page printed objects, i.e. books (monographs) and journals. To achieve this aim, abstract relations instead of document specific formatting rules are taken into account. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Documentation Emerald Publishing

Modelling the logical structure of books and journals using augmented transition network grammars

Journal of Documentation, Volume 59 (1): 15 – Feb 1, 2003

Loading next page...
 
/lp/emerald-publishing/modelling-the-logical-structure-of-books-and-journals-using-augmented-SiuFFqMDok
Publisher
Emerald Publishing
Copyright
Copyright © 2003 MCB UP Ltd. All rights reserved.
ISSN
0022-0418
DOI
10.1108/00220410310458019
Publisher site
See Article on Publisher Site

Abstract

This paper presents a grammar for books and journals using augmented transition networks in automated document analysis. The approach takes the structure of layout elements in books and journals to be part of a semiotic system, which therefore can be described using methods developed for the description of other semiotic systems, e.g. languages. It differs from previous research in the domain of document analysis and understanding as it deals in an exhaustive way with rather generic classes of multi‐page printed objects, i.e. books (monographs) and journals. To achieve this aim, abstract relations instead of document specific formatting rules are taken into account.

Journal

Journal of DocumentationEmerald Publishing

Published: Feb 1, 2003

Keywords: Documentation; Analysis; Libraries; Internet; Networks

References

  • Text categorization for multi‐page documents: a hybrid naive Bayes HMM approach
    Frasconi, P.; Soda, G.; Vullo, A.
  • Logical structure detection for heterogeneous document classes
    Todoran, L.; Aiello, M.; Monz, C.; Worring, M.
  • Transition network grammars for natural language analysis
    Woods, W.A.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off